Concrete pumping pipeline risk identification method and system based on computer vision

The invention discloses a concrete pumping pipeline risk identification method and system based on computer vision, and the method comprises the steps: carrying out the neural network training through employing the image data of the interior of a pumping pipeline containing risk points, obtaining a pump pipe inner wall risk detection model, carrying out the risk identification of the collected image data through employing the pump pipe inner wall risk detection model, and obtaining a risk identification result. The problems that a large amount of time is consumed and the result is not accurate when the fault position is detected according to the experience of workers in a traditional method are solved, and intelligent detection can be accurately and efficiently conducted on the risk point position of the pumping pipeline. After the risk point is detected, the risk type is identified, so that the detection process is more automatic and intelligent. And under the condition of crack risk, sealing detection is fu